| The deep water semi submersible living platform is the main living and living place for operators in offshore oil and gas fields.In the event of an emergency such as a fire,how to quickly and safely evacuate marine personnel in a relatively confined space,quickly implement fire rescue measures,and maximize the safety of the platform and human life is an important issue that needs to be resolved during the design,construction and operation of the platform One.This dissertation focuses on the layout design stage,using improved genetic algorithms and dynamic network flow methods to optimize the layout of living areas that take into account fire.This research is based on daily and fire scenarios,incorporates the development trend of fire into the optimization algorithm,applies human life standards as a basis for judgment,and establishes an optimization algorithm for the layout of living areas of offshore platforms that takes into account the fire.This article optimizes cabin layout from accessibility and cabin connectivity,not only considering the circulation and congestion of personnel in daily and fire conditions,but also considering the position relationship of the cabin,reflecting the functional areas in the layout Performance,maximum area serviceability,noise impact on the cabin,etc.Among them,in this paper,through the fire simulation simulation experiments on the deep water semi submersible living platform,the time and place that affect the human life standard are parameterized,while providing input parameters for the layout optimization algorithm,and the law of fire spreading of the offshore platform is summarized.Using the fire simulation experimental data as the input parameters and judgment conditions of the algorithm,a dynamic network algorithm that takes into account the fire is established.In addition,this paper improves the previous layout genetic algorithm and obtains good results.This article validates the optimization algorithm by establishing an evaluation method for a deepwater semi submersible living platform layout that takes into account the fire.Among them,based on accessibility and cabin connectivity,the evaluation method is composed of four-layer indicators,and the first-level indicator is accessibility and Linkability.The second-level indicator determines five types of personnel evacuation conditions,the third-level indicator determines the functional group of people in the fire,and the fourth-level indicator determines the accessibility performance indicators,that is,the congestion status,time,distance,and safety.It is determined that the upper-level indicators use subjective weighting,and the lower-level indicators use a combination weighting method of objective weighting.The initial plan and the optimized plan were evaluated.The evaluation results showed that the accessibility and cabin connectivity evaluation scores of the optimized plan were optimized by 9.7%and 8.8%,respectively,and the layout optimization algorithm was verified. |
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